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PAA
2002
13 years 8 months ago
Hierarchical Fusion of Multiple Classifiers for Hyperspectral Data Analysis
: Many classification problems involve high dimensional inputs and a large number of classes. Multiclassifier fusion approaches to such difficult problems typically centre around s...
Shailesh Kumar, Joydeep Ghosh, Melba M. Crawford
CORR
2010
Springer
209views Education» more  CORR 2010»
13 years 8 months ago
An Algorithm to Extract Rules from Artificial Neural Networks for Medical Diagnosis Problems
Artificial neural networks (ANNs) have been successfully applied to solve a variety of classification and function approximation problems. Although ANNs can generally predict bett...
S. M. Kamruzzaman, Md. Monirul Islam
SGAI
2009
Springer
14 years 3 months ago
Parallel Rule Induction with Information Theoretic Pre-Pruning
In a world where data is captured on a large scale the major challenge for data mining algorithms is to be able to scale up to large datasets. There are two main approaches to indu...
Frederic T. Stahl, Max Bramer, Mo Adda
MCS
2004
Springer
14 years 2 months ago
An Empirical Comparison of Hierarchical vs. Two-Level Approaches to Multiclass Problems
The ECOC framework provides a powerful and popular method for solving multiclass problems using a multitude of binary classifiers. We had recently introduced the Binary Hierarchica...
Suju Rajan, Joydeep Ghosh
CSB
2004
IEEE
126views Bioinformatics» more  CSB 2004»
14 years 16 days ago
Boosted PRIM with Application to Searching for Oncogenic Pathway of Lung Cancer
Boosted PRIM (Patient Rule Induction Method) is a new algorithm developed for two-class classification problems. PRIM is a variation of those Tree-Based methods ( [4] Ch9.3), seek...
Pei Wang, Young Kim, Jonathan R. Pollack, Robert T...